Nanopore long-read RNAseq reveals widespread transcriptional variation among the surface receptors of individual B cells. (Q41109815)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:28722025%20AND%20SRC:MED&resulttype=core&format=json

25 March 2020

title

Nanopore long-read RNAseq reveals widespread transcriptional variation among the surface receptors of individual B cells (English)

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25 March 2020

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25 March 2020

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25 March 2020

Ashley Byrne

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25 March 2020

Anna E Beaudin

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25 March 2020

Hugh E Olsen

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25 March 2020

Charles Cole

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25 March 2020

Theron Palmer

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25 March 2020

E Camilla Forsberg

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25 March 2020

Mark Akeson

1 reference

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25 March 2020

Christopher Vollmers

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25 March 2020

language of work or name

English

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publication date

19 July 2017

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25 March 2020

published in

Nature Communications

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25 March 2020

volume

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25 March 2020

page(s)

16027

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Creative Commons Attribution 4.0 International

25 March 2020

start time

19 July 2017

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April 2022 Public Data File from Crossref

copyrighted

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cites work

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19 August 2018

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In vivo expression of human immunoglobulin germ-line mRNA in normal and in immunodeficient individuals

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7 January 2021

inferred from DOI database lookup

Statsmodels: Econometric and Statistical Modeling with Python

1 reference

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7 January 2021

inferred from DOI database lookup

Python for Scientific Computing

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7 January 2021

inferred from DOI database lookup

Comprehensive comparison of Pacific Biosciences and Oxford Nanopore Technologies and their applications to transcriptome analysis.

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/28722025

12 December 2020

inferred from PubMed ID database lookup

Identifiers

DOI

10.1038/NCOMMS16027

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:28722025%20AND%20SRC:MED&resulttype=core&format=json

25 March 2020

0 references

1 reference

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25 March 2020

PubMed publication ID

28722025

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:28722025%20AND%20SRC:MED&resulttype=core&format=json